# Machine Learning Engineer at ClaimSorted

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> The engineer will be responsible for building the AI platfor

- **Company:** ClaimSorted (https://jobs.trythestack.co/companies/claimsorted)
- **Location:** London, England, United Kingdom
- **Work arrangement:** Remote
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Machine Learning, AI Engineering, AI Systems Building, Machine Learning Deployment, Workflow Automation, Startup Scaling, Technical Culture Shaping
- **Posted by employer:** 2026-03-13
- **Added to The Stack:** 2026-03-30
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.ashbyhq.com/claimsorted/d05bc30a-52cb-4203-b489-1b43d2d2552a (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/machine-learning-engineer-claimsorted

## About the role

Machine Learning Engineer
About Us
ClaimSorted helps insurers outsource claims end to end – a service called Third-Party Administration (TPA), a ~$200B industry. We combine a strong in-house claims team with our AI-enabled platform to deliver up to 3× faster claims, better service, and better economics for insurers.
Backed by Y Combinator, Atomico, and Eurazeo, we’ve raised $15M+ and already manage claims for over $100M in insurance premium across 30+ MGAs, including more than five publicly traded companies. Our goal: scale to $1B and become the most valuable TPA in the market.
The Role
You will build the AI platform powering insurance claims – helping people get support during life’s most critical moments. You’ll work with insurance specialists to turn claims processes into AI-driven workflows and deploy machine learning solutions at scale.
Build AI systems that improve accuracy, speed up assessments, and enhance customer experience
Work with insurance specialists to turn claims processes into AI-driven workflows
Deploy machine learning solutions at scale
Help build the engineering team and shape the technical culture from the ground up
Work closely with founders and learn how to scale a startup from 0 to 1
We love working together in the office, so this is a full-time, office-based role in our London office. We’re a high-intensity team and often put in significant time and effort, with some people working on weekends, because we believe great outcomes come from doing the work well.
Qualifications
2+ years of experience in AI/ML engineering or research
Proven track record of delivering AI/ML projects from concept to production, improving key company metrics
Passion for shipping quickly
Great at working with non-technical users
Comfortable operating in ambiguous, high-velocity environments
Our Values
Move Fast – Act decisively, iterate quickly, optimise for momentum.
Always Overdeliver – We exceed expectations in everything we do.
Think Customer-First, Always – The customer experience drives every decision.
Challenge the Status Quo – We innovate relentlessly and never settle for ‘good enough.’
Say It How It Is – Transparency and direct communication build trust.
Compensation & Benefits
Competitive salary beyond the industry standard
Generous, transparent equity participation
Skilled Worker visa sponsorship in the UK
28 days annual leave plus bank holidays
30 days of remote work annually
Health insurance
Pension contributions in line with UK auto-enrolment requirements
Company offsites
About the Interview
Intro call – 20 min
Technical interview – 45 min
ML interview – 30 min
Culture interview – 30 min
Team day (paid) – come build with us for a day, weekend, or evening

## Responsibilities

The engineer will be responsible for building the AI platform that powers insurance claims by turning claims processes into AI-driven workflows and deploying machine learning solutions at scale. This includes building AI systems to improve accuracy, speed up assessments, and enhance customer experience.

## Requirements

Candidates must have at least two years of experience in AI/ML engineering or research, with a proven track record of delivering AI/ML projects from concept to production that improved key company metrics. They should also be passionate about shipping quickly, comfortable working with non-technical users, and adept at operating in high-velocity, ambiguous environments.

## FAQ

- **Is this Machine Learning Engineer role still open?** It was posted on 2026-03-13. Listings more than 30 days old may no longer be active, so check ClaimSorted's site before applying.
- **Does ClaimSorted offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on ClaimSorted's site.
- **Where is this role located?** The listing gives the location as London, England, United Kingdom. It is marked remote.
- **What skills does this role ask for?** The listing names: Machine Learning, AI Engineering, AI Systems Building, Machine Learning Deployment, Workflow Automation, Startup Scaling, Technical Culture Shaping.

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## About The Stack

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## Notes for agents

- Apply on the employer's page (https://jobs.ashbyhq.com/claimsorted/d05bc30a-52cb-4203-b489-1b43d2d2552a). The Stack does not take applications.
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- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
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